|
--- |
|
title: Gtm-Keras-H5-Predictor |
|
emoji: 😻 |
|
colorFrom: green |
|
colorTo: red |
|
sdk: gradio |
|
sdk_version: 4.12.0 |
|
app_file: app.py |
|
pinned: false |
|
license: ecl-2.0 |
|
--- |
|
|
|
## Description |
|
In Google Teachable Machine, after training, under 'Export Model', go to 'Tensorflow', click on 'Keras' and then 'Download my model' (wait a moment). The zip will contain the Keras .h5 model. This application allows users to upload these models and test them with their own images. |
|
|
|
## How to Use |
|
1. Train a model in Google Teachable Machine. |
|
2. Export and download the model as a Keras .h5 file (in Tensorflow, in middle, click on Keras, Download my model). |
|
3. Upload the model (.zip or .h5) and your test images to the application. |
|
4. View the predictions made by the model. |
|
|
|
## Developer |
|
Developed by Ramon Mayor Martins (2023) |
|
Atualizado 05/2024 |
|
|
|
- E-mail: [[email protected]](mailto:[email protected]) |
|
- Homepage: [https://rmayormartins.github.io/](https://rmayormartins.github.io/) |
|
- Twitter: [@rmayormartins](https://twitter.com/rmayormartins) |
|
- GitHub: [https://github.com/rmayormartins](https://github.com/rmayormartins) |
|
|
|
|
|
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
|
|
